Markus Grasmair
Norges teknisk-naturvitenskaplige universitet
H-index: 17
Europe-Norway
Top articles of Markus Grasmair
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Parameter identification in PDEs by the solution of monotone inclusion problems | arXiv preprint arXiv:2403.04557 | Pankaj Gautam Markus Grasmair | 2024/3/7 |
Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation | arXiv preprint arXiv:2404.15296 | Martin Ludvigsen Markus Grasmair | 2024/3/26 |
Adversarial Generative NMF for Single Channel Source Separation | arXiv preprint arXiv:2305.01758 | Martin Ludvigsen Markus Grasmair | 2023/4/24 |
MULTICRITERIA OPTIMISATION, A PRIMER | MARKUS GRASMAIR | 2023/4/4 | |
Multi-parameter approaches in image processing | Markus Grasmair Valeriya Naumova | 2023/2/25 | |
Towards a data-driven system for personalized cervical cancer risk stratification | Scientific Reports | Geir Severin RE Langberg Jan F Nygård Vinay Chakravarthi Gogineni Mari Nygård Markus Grasmair | 2022/7/15 |
A square root velocity framework for curves of bounded variation | arXiv preprint arXiv:2203.06633 | Markus Grasmair | 2022/3/13 |
A PDE-Based Method for Shape Registration | SIAM Journal on Imaging Sciences | Esten Nicolai Wøien Markus Grasmair | 2022 |
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results | BMC bioinformatics | Geir Severin RE Langberg Mikal Stapnes Jan F Nygård Mari Nygård Markus Grasmair | 2022/11/16 |
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction | Vinay Chakravarthi Gogineni Severin RE Langberg Valeriya Naumova Jan F Nygård Mari Nygård | 2021/10/31 | |
Data-driven personalized cervical cancer risk prediction: A graph-perspective | Vinay Chakravarthi Gogineni Severin RE Langberg Valeriya Naumova Jan F Nygård Mari Nygård | 2021/7/11 | |
Source conditions for non-quadratic Tikhonov regularization | Numerical Functional Analysis and Optimization | Markus Grasmair | 2020/8/17 |
Adaptive multi-penalty regularization based on a generalized lasso path | Applied and Computational Harmonic Analysis | Markus Grasmair Timo Klock Valeriya Naumova | 2020/7/1 |
Subgradient-based Lavrentiev regularisation of monotone ill-posed problems | arXiv preprint arXiv:2005.08917 | Markus Grasmair Fredrik Hildrum | 2020/5/18 |
Co-Authors
